Triple
T7074277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Racecourse |
E164776
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Chester
Chester is a historic city in northwest England known for its Roman walls, medieval architecture, and distinctive black-and-white timbered buildings.
|
E640406
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Chester | Statement: [Chester Racecourse, locatedIn, Chester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chester Context triple: [Chester Racecourse, locatedIn, Chester]
-
A.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
B.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
-
C.
Chester
Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
-
D.
Chester
Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
-
E.
Town of Chester
The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chester Triple: [Chester Racecourse, locatedIn, Chester]
Generated description
Chester is a historic city in northwest England known for its Roman walls, medieval architecture, and distinctive black-and-white timbered buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chester Target entity description: Chester is a historic city in northwest England known for its Roman walls, medieval architecture, and distinctive black-and-white timbered buildings.
-
A.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
B.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
-
C.
Chester
Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
-
D.
Chester
Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
-
E.
Town of Chester
The Town of Chester is a small Adirondack community in upstate New York known for its lakes, forests, and outdoor recreation.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ccb42c81909f5627aa97db7a84 |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79439f28481909c028f4f86062b0f |
completed | March 28, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69c795143ad481909d0395ca41502e42 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795fce734819086e20a916aa67f54 |
completed | March 28, 2026, 8:49 a.m. |
Created at: March 27, 2026, 2:39 p.m.